Autonomous implant sensor position measurement using human voxel data

A new autonomous implant sensor positioning measurement technique is discussed. The goal of this study is to develop ubiquitous medical systems with autonomous nano‐medical sensors and robots. The key to achieving the goal is to establish autonomous positioning measurement for these implant objects without imposing a burden on patients. For this purpose, this study proposes autonomous positioning measurement with human voxel data. The technique combines two algorithms: autonomous distributed measurement of sensors with Sammon's map, which is a nonlinear mapping algorithm, and a voxel human model clustered with the propagation characteristics of human tissue. A simulation experiment shows that the proposed technique makes possible precise positioning measurement in a heterogeneous propagation environment in the human body. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(6): 1–9, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.10336